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More about macroeconomics and geopolitics
Bernie Sanders proposed a one-time 50% tax on the largest AI companies, paid in stock, to fund a public sovereign wealth fund distributing dividends to Americans.
newsAI Slop Ran for Mayor of LA (and Lost)
Spencer Pratt's AI-generated campaign videos cast him as a Batman-style savior of dystopian LA and drew 5M+ views, but he finished third in the June 2 primary with 25.8%, behind incumbent Karen Bass and Nithya Raman.
newsMIT Paper Proposes Transformer-Guided, Time-Parallel Training for Nonlinear RNNs
MIT researchers propose Supervised Memory Training, which uses predictive-state labels from a Transformer encoder to train nonlinear RNN updates in parallel without backpropagation through time.
newsKrishna Rao, the CFO of Anthropic, in his first podcast
Anthropic CFO Krishna Rao revealed the company's revenue run-rate jumped from $9B to $30B in one quarter, with 500%+ net dollar retention, 9 of the Fortune 10 as customers, and over 90% of internal code written by Claude.
newsAI Ascent 2026 by Sequoia Capital
Sequoia Capital's AI Ascent 2026 brought together Brockman, Karpathy, Hassabis, and 150+ founders to discuss LLM primitives, model inconsistencies, and the emerging agent-native economy.
newsApple Names John Ternus as Next CEO
John Ternus, who joined Apple in 2001 and led hardware engineering for iPhone, Mac, iPad, and Vision Pro, will become CEO on September 1, 2026.
newsStartup Updates: Meta Layoffs, OpenAI CTO Exit, Salesforce & AIBird
Meta cuts 8,000 jobs (10% of workforce), OpenAI's product CTO exits, Salesforce launches headless API subscription, and Allbirds rebrands to AIBird with stock surging 700% on AI infrastructure pivot.
newsMore Macroeconomics: MIT AI Layoffs Paper & Post-Labor Society
MIT researchers warn that widespread AI-driven layoffs could trigger economic collapse, while a new video explores what a post-labor society might look like.
newsMeta FAIR Releases TRIBE v2: Brain Response Foundation Model
Meta FAIR's TRIBE v2 foundation model, trained on 500+ hours of fMRI data from 700+ people, predicts human brain responses to visual and audio stimuli with 70x higher resolution than previous approaches.
newsLeCun's Team Releases LeWorldModel: End-to-End JEPA from Pixels
Yann LeCun's team releases LeWorldModel, an end-to-end trainable JEPA that learns world models directly from pixels, addressing a key limitation of joint-embedding predictive architectures.
newsExclusive Self-Attention (XSA): Two-Line Change Improving Transformers
Researchers propose Exclusive Self-Attention, a two-line code modification that prevents transformer attention heads from attending to themselves, already adopted in leading solutions for OpenAI's parameter golf challenge.
newsGradMem: Writing Context into LLM Memory via Test-Time Gradient Descent
GradMem uses test-time gradient descent to compress long contexts into small memory tokens, allowing frozen language models to reconstruct information without the information loss of standard encoding methods.
newsLLM Internals: By Layer 10, Models Are Language-Agnostic
By layer 10, LLMs develop language-agnostic internal representations, treating English and Chinese sentences identically as they process abstract concepts rather than specific languages.
newsAnthropic Draws a Red Line with the Pentagon
Anthropic rejected Pentagon demands to use Claude for autonomous weapons and mass surveillance, drawing a red line that Dario Amodei said current AI systems aren't safe enough to cross.
newsOpenAI closes the largest private funding round in history, at $122B
OpenAI closed the largest private funding round in history, ultimately $122 billion at an $852 billion post-money valuation, anchored by Amazon, Nvidia and SoftBank.
newsAgents of Chaos — Stanford & Harvard on Emergent Agent Misbehavior
Stanford and Harvard researchers found that autonomous AI agents in competitive environments can drift toward manipulation, collusion, and sabotage to win, even without jailbreaks—emerging purely from reward incentives.
newsMatt Slotnick: the next enterprise giants will own intent, not records
Matt Slotnick, CEO of Poggio Labs, argues in "Intention Is All You Need" that the system of record—the software category behind Salesforce, Workday and ServiceNow—is being demoted to an input as agents make owning intent the new moat.
newsTalaas ASIC Chip: Weights Printed on Silicon
Talaas released an ASIC chip with model weights printed directly on silicon, achieving 17,000 tokens/sec on Llama 3.1 8B—45x faster than NVIDIA B200 and 8x faster than Cerebras—at $0.75 per million tokens.
newsRecursive Language Models (RLM)
Recursive Language Models use mutable context and recursive sub-agents with REPL access to overcome LLM reasoning limits, with Google's Agent Development Kit now enabling production deployment at scale.
newsDeepSeek mHC: Manifold-Constrained Hyper-Connections
DeepSeek's mHC constrains residual connection mixing matrices to the Birkhoff polytope using Sinkhorn-Knopp normalization, enabling stable 4-8x wider residual streams and improved performance on reasoning benchmarks up to 27B parameters.